Let's talk, whether or not your VLM that can see 14 million possible futures like Doctor Strange
Let's talk, whether or not your VLM that can see 14 million possible futures like Doctor Strange
www.youtube.com/watch?v=b5OR...
Covering @ch272h.bsky.social's ReSpect work, and Giovanni Monea's ICRL work
LLMs learn to use search tools to answer questions they would otherwise hallucinate on. But can this also teach them what they know vs not?
We introduce MASH that trains LLMs for search and gets abstentions for free!
Gist: autonomous post-training from conversational signals for LLM bootstrapping ... look ma, no annotations! no hand-holding! 🙌📈🚀
www.youtube.com/watch?v=qW8S...
Gist: autonomous post-training from conversational signals for LLM bootstrapping ... look ma, no annotations! no hand-holding! 🙌📈🚀
www.youtube.com/watch?v=qW8S...
- IELTS writing test without Gmail autocompletion: I can’t spell
I guess these evaluation formats are out of date. Or more likely, tab-AI made me dumber. I wonder how it feels like to be born in 2022 and grow up in a world with llms.
- IELTS writing test without Gmail autocompletion: I can’t spell
I guess these evaluation formats are out of date. Or more likely, tab-AI made me dumber. I wonder how it feels like to be born in 2022 and grow up in a world with llms.
Riffs on "I'm your Chinese spy, I'm so happy to see you!", to AI memes of a Chinese terracotta warrior and Lady Liberty in romantic poses, to demands for cat photos.
Our meme culture and theirs are a match.
Do you think AIs today are intelligent? Answer with yes or no.
Here is the break down:
Yes: 57
No: 62
Total: 119
Pretty close!
Do you think AIs today are intelligent? Answer with yes or no.
Here is the break down:
Yes: 57
No: 62
Total: 119
Pretty close!
@yoavartzi.com: how about the paper’s fig1? 🙅
me: lesson learned. no memes 😭
A paper on continually learning from naturally occurring interaction signals, such as in the hypothetical conversation above
arxiv.org/abs/2410.13852
1/7
@yoavartzi.com: how about the paper’s fig1? 🙅
me: lesson learned. no memes 😭
A paper on continually learning from naturally occurring interaction signals, such as in the hypothetical conversation above
arxiv.org/abs/2410.13852
1/7